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Modified exergoeconomic modeling of geothermal power plants

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  • Coskun, C.
  • Oktay, Z.
  • Dincer, I.

Abstract

In this study, a modified exergoeconomic model is proposed for geothermal power plants using exergy and cost accounting analyses, and a case study is in this regard presented for the Tuzla geothermal power plant system (Tuzla GPPS) in Turkey to illustrate an application of the currently modified exergoeconomic model. Tuzla GPPS has a total installed capacity of 7.5 MW and was recently put into operation. Electricity is generated using a binary cycle. In the analysis, the actual system data are used to assess the power plant system performance through both energy and exergy efficiencies, exergy losses and loss cost rates. Exergy efficiency values vary between 35% and 49% with an average exergy efficiency of 45.2%. The relations between the capital costs and the exergetic loss/destruction for the system components are studied. Six new exergetic cost parameters, e.g., the component annualized cost rate, exergy balance cost, overall unavoidable system exergy destruction/loss cost rate, overall unavoidable system exergy destruction/loss cost rate, overall unavoidable system exergy production cost rate and the overall unavoidable system exergy production cost rate are studied to provide a more comprehensive evaluation of the system.

Suggested Citation

  • Coskun, C. & Oktay, Z. & Dincer, I., 2011. "Modified exergoeconomic modeling of geothermal power plants," Energy, Elsevier, vol. 36(11), pages 6358-6366.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:11:p:6358-6366
    DOI: 10.1016/j.energy.2011.09.038
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    3. Zhao, Yajing & Wang, Jiangfeng, 2016. "Exergoeconomic analysis and optimization of a flash-binary geothermal power system," Applied Energy, Elsevier, vol. 179(C), pages 159-170.
    4. Guerrero-Martínez, Fernando J. & Verma, Surendra P., 2013. "Three dimensional temperature simulation from cooling of two magma chambers in the Las Tres Vírgenes geothermal field, Baja California Sur, Mexico," Energy, Elsevier, vol. 52(C), pages 110-118.
    5. Shamoushaki, Moein & Fiaschi, Daniele & Manfrida, Giampaolo & Talluri, Lorenzo, 2022. "Energy, exergy, economic and environmental (4E) analyses of a geothermal power plant with NCGs reinjection," Energy, Elsevier, vol. 244(PA).
    6. Malik, Monu & Dincer, Ibrahim & Rosen, Marc A., 2015. "Development and analysis of a new renewable energy-based multi-generation system," Energy, Elsevier, vol. 79(C), pages 90-99.
    7. Gerber, Léda & Maréchal, François, 2012. "Environomic optimal configurations of geothermal energy conversion systems: Application to the future construction of Enhanced Geothermal Systems in Switzerland," Energy, Elsevier, vol. 45(1), pages 908-923.
    8. Ding, Jianyong & Gao, Ciwei & Song, Meng & Yan, Xingyu & Chen, Tao, 2022. "Bi-level optimal scheduling of virtual energy station based on equal exergy replacement mechanism," Applied Energy, Elsevier, vol. 327(C).
    9. R.V., Rohit & R., Vipin Raj & Kiplangat, Dennis C. & R., Veena & Jose, Rajan & Pradeepkumar, A.P. & Kumar, K. Satheesh, 2023. "Tracing the evolution and charting the future of geothermal energy research and development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).

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